This thesis focuses on the key technologies involved in magnetically coupled Wireless Power Transfer (WPT). Starting from the basic structures and theories of WPT, it addresses four fundamental aspects of these systems. Firstly, it analyzes the factors affecting transfer efficiency and compares various methods for reducing the working frequency. Secondly, it discusses frequency splitting and offers a physical explanation. Thirdly, it proposes and assesses three multiple-load transfer structures. Lastly, it investigates WPT systems with active voltage-source and current-source load. As such, the thesis offers readers a deeper understanding of WPT technology, while also proposing insightful new advances.

This thesis focuses on the key technologies involved in magnetically coupled Wireless Power Transfer (WPT). Starting from the basic structures and theories of WPT, it addresses four fundamental aspects of these systems. Firstly, it analyzes the factors affecting transfer efficiency and compares various methods for reducing the working frequency. Secondly, it discusses frequency splitting and offers a physical explanation. Thirdly, it proposes and assesses three multiple-load transfer structures. Lastly, it investigates WPT systems with active voltage-source and current-source load. As such, the thesis offers readers a deeper understanding of WPT technology, while also proposing insightful new advances.

The static and semi-dynamic routing problems in the Wavelength Division Multiplexing (WDM) networks are generally very complicated. Finding the exact optima for most of these optimization problems is usually impossible with today's computation facility even for the medium size networks. Therefore, finding a sub-optimal solution within a reasonable computation time is the only choice, while knowing the proximity of the sub-optimal solution to the exact-optimum would be an additional advantage. Different from most of the existing heuristic approaches, this book provides strict formulations and mathematical solutions with polynomial complexities for various optimization problems, including Min-Cost Problem, Max-RWA Problem, Traffic Grooming Routing Problem, and Semi-Dynamic Optimization Problem. The results are compared with other state-of-the-art solutions, such as LP-relaxation and branch-and-bound methods. The solution framework provided in this book has been proven to be very computationally efficient, while generating results with good optimality, at the same time providing tight theoretical bounds. The computation time can be further reduced by reusing the optimized results.

This conference proceeding is a collection of the papers accepted by the CENet2021 - the 11th International Conference on Computer Engineering and Networks held on October 21-25, 2021 in Hechi, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.